This study predicts GP healthcare demand using welfare data as a proxy for need, analyzed with ArcGIS Pro. Catchment zones (2km, 5km, 10km, and beyond) were redefined to electoral divisions using tools like buffer creation, spatial joins, clip, erase, and centroid-based selection methods. The analysis revealed high demand near urban GPs and in remote areas, highlighting disparities in healthcare access.